GigaSpeech is a large, modern English dataset for speech recognition, collected from audiobooks, podcasts, and YouTube. It contains over 33,000 hours for unsupervised/semi-supervised learning and 10,000 hours with high-quality human transcriptions for supervised learning, covering both read and spontaneous speaking styles. The dataset has train, evaluation (dev), and test splits, with the train split having five configurations of various sizes (XS, S, M, L, XL), where larger subsets are supersets of smaller ones. It can also be used for Text-to-Speech (TTS) tasks.
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